Statistical Implicative Analysis: Theory and Applications (Studies in Computational Intelligence, 127, Band 127)

Gras, Régis, Einoshin Suzuki Fabrice Guillet u. a.:

ISBN 10: 3540789820 / ISBN 13: 9783540789826

Published by Springer, 2008

About this Item

528 Seiten; 9783540789826.3 Gewicht in Gramm: 1.

Seller Inventory # 965788

Bibliographic Details

• Title: Statistical Implicative Analysis: Theory and Applications (Studies in Computational Intelligence, 127, Band 127)
• Publisher: Springer
• Publication Date: 2008
• Language: English
• ISBN 10: 3540789820
• ISBN 13: 9783540789826
• Binding: hardcover
• Condition: Gut
• Seller catalogs:
  • Varia

About this title

Synopsis

Statistical implicative analysis is a data analysis method created by Régis Gras almost thirty years ago which has a significant impact on a variety of areas ranging from pedagogical and psychological research to data mining. Statistical implicative analysis (SIA) provides a framework for evaluating the strength of implications; such implications are formed through common knowledge acquisition techniques in any learning process, human or artificial. This new concept has developed into a unifying methodology, and has generated a powerful convergence of thought between mathematicians, statisticians, psychologists, specialists in pedagogy and last, but not least, computer scientists specialized in data mining.

This volume collects significant research contributions of several rather distinct disciplines that benefit from SIA. Contributions range from psychological and pedagogical research, bioinformatics, knowledge management, and data mining.